External Context Skill
Fetch external documentation, references, and context for a query. Decomposes into 2-5 facets and spawns parallel document-specialist Claude agents.
Usage
/oh-my-claudecode:external-context
Examples
/oh-my-claudecode:external-context What are the best practices for JWT token rotation in Node.js?
/oh-my-claudecode:external-context Compare Prisma vs Drizzle ORM for PostgreSQL
/oh-my-claudecode:external-context Latest React Server Components patterns and conventions
Protocol
Step 1: Facet Decomposition
Given a query, decompose into 2-5 independent search facets:
Search Decomposition
**
Query:
**
<
original
query
Facet 1:
**
Search focus:
**
What to search for
-
**
Sources:
**
Official docs, GitHub, blogs, etc.
Facet 2:
...
Step 2: Parallel Agent Invocation
Fire independent facets in parallel via Task tool:
Task(subagent_type="oh-my-claudecode:document-specialist", model="sonnet", prompt="Search for: . Use WebSearch and WebFetch to find official documentation and examples. Cite all sources with URLs.")
Task(subagent_type="oh-my-claudecode:document-specialist", model="sonnet", prompt="Search for: . Use WebSearch and WebFetch to find official documentation and examples. Cite all sources with URLs.")
Maximum 5 parallel document-specialist agents.
Step 3: Synthesis Output Format
Present synthesized results in this format:
External Context:
Key Findings
1.
**
**
- Source:
title
2.
**
**
- Source:
title
Detailed Results
Facet 1:
<
aggregated
findings
with
citations
Facet 2:
<
aggregated
findings
with
citations
Sources
Source 1
-
Source 2
Configuration
Maximum 5 parallel document-specialist agents
No magic keyword trigger - explicit invocation only